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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tory, M. Moller, T. |
| Copyright Year | 2004 |
| Description | Author affiliation: Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC (Tory, M.; Moller, T.) |
| Abstract | We present the novel high-level visualization taxonomy. Our taxonomy classifies visualization algorithms rather than data. Algorithms are categorized based on the assumptions they make about the data being visualized; we call this set of assumptions the design model. Because our taxonomy is based on design models, it is more flexible than existing taxonomies and considers the user's conceptual model, emphasizing the human aspect of visualization. Design models are classified according to whether they are discrete or continuous and by how much the algorithm designer chooses display attributes such as spatialization, timing, colour, and transparency. This novel approach provides an alternative view of the visualization field that helps explain how traditional divisions (e.g., information and scientific visualization) relates and overlap, and that may inspire research ideas in hybrid visualization areas |
| Sponsorship | IEEE Comput. Soc. Visualization and Graphics Tech. Comm |
| Starting Page | 151 |
| Ending Page | 158 |
| File Size | 175805 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780387793 |
| ISSN | 1522404X |
| DOI | 10.1109/INFVIS.2004.59 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-10-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Taxonomy Data visualization Algorithm design and analysis Graphics Usability Humans Displays Timing Information theory Application software conceptual model visualization taxonomy classification design model user model |
| Content Type | Text |
| Resource Type | Article |
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